2022-05-06

Introduction

How personal parameters influence diabetes diagnosis

  • Is the diagnosis influenced by income and gender
  • Explore clustering patterns in the data
  • Is there specific variables related to if a person is treated

NHANES glycohemoglobin data

Methods

Principal Component Analysis

Investigating patterns in relation to diagnosis of diabetes melltius

Principal Component Analysis

Investigating of patterns in relation to BMI

K-means clustering

Identify relevant number of clusters

K-means clustering

CLusters between age and all other variables

Conclusion